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| """Report a predeclared once-per-case panel without loading a policy or SIM. | |
| Plan JSON has exactly these required fields:: | |
| {"schema_version": "starvla-rsi.panel-plan/v1", "cases": ["episode-id"], | |
| "reference": {"successes": 1, "episodes": 1}} | |
| Optional ``reference_url`` and ``operator_notes`` are strings. Reference values | |
| are operator declarations, not independently verified or evidence of identical | |
| conditions. Case IDs are unique, nonempty strings matched exactly to episode.id. | |
| Each JSONL row is a closed ``starvla-rsi.eval/v1`` result with ``episode.id``, | |
| ``status`` (completed/error), ``success``, ``metrics`` and ``error``. Completed | |
| rows require matching boolean success and metrics.success, with error=null. | |
| Error rows require success=null and an error object; policy/model categories | |
| are behavioral failures, while other/missing categories remain infrastructure | |
| or ambiguous failures. Artifact/cleanup errors also make a panel incomplete, | |
| including when attached to a primary policy failure. Those two counts can | |
| overlap. The same checks follow only the named policy_call_error chain, up to | |
| 32 nested objects; deeper chains are rejected. Arbitrary metadata is not | |
| scanned. Additional finite JSON fields and all original error rows are retained. | |
| Counters are optional nonnegative integers (null means unknown). Only existing | |
| top-level environment_steps/policy_calls/action_decisions and explicitly | |
| normalized metrics.controls/first_native_success_control are summarized; no | |
| benchmark-specific field names, scorer heuristics or counter inference are used. | |
| An earlier success counter never overrides the final native success boolean. | |
| Only a complete panel (all planned rows, no infrastructure/ambiguous errors) | |
| gets a full-panel SR. Otherwise successful/planned is a coverage lower bound; | |
| completed-native SR always has a separate explicit denominator. This tool cannot | |
| attest predeclaration timing, source closure, protocol equivalence or statistical | |
| equivalence. It never starts, selects, retries, filters or edits an episode. | |
| Absent rows are missing_closed_result, not evidence that a case was unattempted: | |
| an executed process can fail or disappear before writing its closed result. | |
| """ | |
| from __future__ import annotations | |
| import argparse | |
| import hashlib | |
| import json | |
| import os | |
| from pathlib import Path | |
| import stat | |
| from benchkit.artifacts import atomic_write_json | |
| from benchkit.contracts import ensure_jsonable | |
| PLAN_SCHEMA = "starvla-rsi.panel-plan/v1" | |
| RESULT_SCHEMA = "starvla-rsi.eval/v1" | |
| REPORT_SCHEMA = "starvla-rsi.panel-sr/v1" | |
| MAX_INPUT_BYTES = 64 * 1024 * 1024 | |
| POLICY_CATEGORIES = frozenset({"policy", "model"}) | |
| def _require(condition, message): | |
| if not condition: | |
| raise ValueError(message) | |
| def _text(value, name): | |
| _require(isinstance(value, str) and bool(value.strip()), name + " must be a nonempty string") | |
| _require(not any(0xD800 <= ord(c) <= 0xDFFF for c in value), name + " contains invalid Unicode") | |
| return value | |
| def _integer(value, name, minimum=0): | |
| _require(type(value) is int and value >= minimum, name + " must be a nonnegative integer" if minimum == 0 | |
| else name + " must be a positive integer") | |
| return value | |
| def _plan(plan): | |
| _require(isinstance(plan, dict), "plan must be an object") | |
| required = {"schema_version", "cases", "reference"} | |
| _require(required <= set(plan) <= required | {"reference_url", "operator_notes"}, "invalid plan fields") | |
| _require(plan["schema_version"] == PLAN_SCHEMA, "unsupported plan schema") | |
| cases = plan["cases"] | |
| _require(isinstance(cases, list) and bool(cases), "cases must be a nonempty list") | |
| for case in cases: | |
| _text(case, "case ID") | |
| _require(case == case.strip() and not any(ord(c) < 32 for c in case), "case IDs cannot have surrounding whitespace/control characters") | |
| _require(len(set(cases)) == len(cases), "duplicate planned case ID") | |
| reference = plan["reference"] | |
| _require(isinstance(reference, dict) and set(reference) == {"successes", "episodes"}, "invalid reference fields") | |
| _integer(reference["episodes"], "reference episodes", 1) | |
| _integer(reference["successes"], "reference successes") | |
| _require(reference["successes"] <= reference["episodes"], "reference successes exceed episodes") | |
| for name in ("reference_url", "operator_notes"): | |
| if name in plan: | |
| _text(plan[name], name) | |
| return ensure_jsonable(plan) | |
| def _row(record): | |
| _require(isinstance(record, dict), "episode result must be an object") | |
| required = {"schema_version", "episode", "status", "success", "metrics", "error"} | |
| _require(required <= set(record), "episode result missing required fields") | |
| _require(record["schema_version"] == RESULT_SCHEMA, "unsupported episode result schema") | |
| _require(isinstance(record["episode"], dict) and "id" in record["episode"], "episode.id is required") | |
| case = _text(record["episode"]["id"], "episode.id") | |
| _require(isinstance(record["metrics"], dict), "metrics must be an object") | |
| _require(record["status"] in ("completed", "error"), "only closed completed/error results are accepted") | |
| category, policy_failure, issues = None, False, [] | |
| if record["status"] == "completed": | |
| _require(record["error"] is None, "completed result has an error") | |
| _require(type(record["success"]) is bool and type(record["metrics"].get("success")) is bool, | |
| "completed result requires boolean native success") | |
| _require(record["success"] == record["metrics"]["success"], "success disagrees with native metrics.success") | |
| outcome = "native_success" if record["metrics"]["success"] else "native_failure" | |
| else: | |
| _require(record["success"] is None and isinstance(record["error"], dict), "error result requires success=null and error object") | |
| error = record["error"] | |
| category = error.get("category") | |
| if category is not None: | |
| _text(category, "error category") | |
| policy_failure = category in POLICY_CATEGORIES | |
| if not policy_failure: | |
| issues.append("primary_infrastructure_or_ambiguous_error") | |
| current, depth = error, 0 | |
| while current is not None: | |
| _require(depth <= 32, "policy_call_error chain exceeds supported depth32") | |
| prefix = "policy_call_error." * depth | |
| if not isinstance(current, dict): | |
| issues.append(prefix + "malformed_error") | |
| break | |
| nested_category = current.get("category") | |
| if depth and (not isinstance(nested_category, str) or nested_category not in POLICY_CATEGORIES): | |
| issues.append(prefix + "infrastructure_or_ambiguous_error") | |
| if "artifact_error" in current and current["artifact_error"] is not None: | |
| issues.append(prefix + "artifact_error") | |
| if "cleanup_errors" in current and current["cleanup_errors"] not in (None, []): | |
| issues.append(prefix + "cleanup_errors") | |
| current = current.get("policy_call_error") | |
| depth += 1 | |
| outcome = "policy_failure" if policy_failure else "infrastructure_or_ambiguous_error" | |
| counters = {} | |
| for name in ("environment_steps", "policy_calls", "action_decisions"): | |
| if record.get(name) is not None: | |
| counters[name] = _integer(record[name], name) | |
| for name in ("controls", "first_native_success_control"): | |
| if record["metrics"].get(name) is not None: | |
| counters[name] = _integer(record["metrics"][name], "metrics." + name) | |
| if "controls" in counters and "first_native_success_control" in counters: | |
| _require(counters["first_native_success_control"] <= counters["controls"], "first native success exceeds recorded controls") | |
| return {"case_id": case, "outcome": outcome, "policy_failure": policy_failure, | |
| "has_infrastructure_error": bool(issues), "infrastructure_issues": issues, | |
| "error_category": category, "counters": counters} | |
| def summarize_panel(plan: dict, records: list[dict]) -> dict: | |
| """Return an immutable-input summary; reject duplicate/unplanned records.""" | |
| plan = _plan(plan) | |
| _require(isinstance(records, list), "records must be a list of closed results") | |
| records = ensure_jsonable(records) | |
| expected = set(plan["cases"]) | |
| by_case = {} | |
| for index, record in enumerate(records): | |
| row = _row(record) | |
| case = row["case_id"] | |
| _require(case in expected, "unplanned episode ID: " + case) | |
| _require(case not in by_case, "duplicate episode ID: " + case) | |
| by_case[case] = {**row, "record_index": index} | |
| cases = [by_case.get(case, {"case_id": case, "outcome": "missing_closed_result", "record_index": None}) | |
| for case in plan["cases"]] | |
| successes = sum(row["outcome"] == "native_success" for row in cases) | |
| completed = sum(row["outcome"] in ("native_success", "native_failure") for row in cases) | |
| policy_failures = sum(row.get("policy_failure", False) for row in cases) | |
| infrastructure = sum(row.get("has_infrastructure_error", False) for row in cases) | |
| planned, recorded = len(cases), len(records) | |
| complete = recorded == planned and infrastructure == 0 | |
| rate = successes / planned | |
| reference = plan["reference"] | |
| reference_rate = reference["successes"] / reference["episodes"] | |
| return {"schema_version": REPORT_SCHEMA, "plan": plan, "records": records, "cases": cases, | |
| "complete_panel": complete, | |
| "counts": {"planned": planned, "recorded": recorded, "completed_native": completed, | |
| "successes": successes, "native_failures": completed - successes, | |
| "policy_failures": policy_failures, "infrastructure_errors": infrastructure, | |
| "missing_closed_results": planned - recorded}, | |
| "successful_over_planned": {"successes": successes, "episodes": planned, "rate": rate, | |
| "interpretation": "full_panel_success_rate" if complete else "coverage_lower_bound_only"}, | |
| "full_panel_success_rate": rate if complete else None, | |
| "completed_native_success_rate": {"successes": successes, "episodes": completed, | |
| "rate": successes / completed if completed else None, "secondary_denominator_only": True}, | |
| "reference": {**reference, "rate": reference_rate, "operator_declared_not_verified": True}, | |
| "comparison": {"eligible_full_panel_sr": complete, | |
| "rate_difference": rate - reference_rate if complete else None, | |
| "same_numeric_rate": successes * reference["episodes"] == reference["successes"] * planned if complete else None, | |
| "same_conditions_verified": False, "statistical_equivalence_established": False}, | |
| "caveats": ["Policy failures remain in the planned denominator.", | |
| "Infrastructure-error case counts may overlap primary policy-failure counts; neither is dropped.", | |
| "Missing closed results do not establish whether a case was attempted or executed.", | |
| "Completed-native SR excludes error/missing-result rows and is only a secondary statistic.", | |
| "Reference values and plan timing are declarations; this reporter does not verify equivalent conditions or statistical equivalence."]} | |
| def _decode(text): | |
| def unique(pairs): | |
| result = {} | |
| for key, value in pairs: | |
| _require(key not in result, "duplicate JSON object key") | |
| result[key] = value | |
| return result | |
| def nonfinite(value): | |
| raise ValueError("nonfinite JSON value") | |
| return json.loads(text, object_pairs_hook=unique, parse_constant=nonfinite) | |
| def _read_closed(path: Path): | |
| fd = os.open(path, os.O_RDONLY | os.O_NONBLOCK | os.O_NOFOLLOW) | |
| with os.fdopen(fd, "rb") as stream: | |
| before = os.fstat(stream.fileno()) | |
| _require(stat.S_ISREG(before.st_mode) and before.st_size <= MAX_INPUT_BYTES, "input must be a regular file of at most 64 MiB") | |
| data = stream.read(MAX_INPUT_BYTES + 1) | |
| after = os.fstat(stream.fileno()) | |
| current = os.stat(path, follow_symlinks=False) | |
| identity = lambda item: (item.st_dev, item.st_ino, item.st_size, item.st_mtime_ns, item.st_ctime_ns) | |
| _require(len(data) <= MAX_INPUT_BYTES and identity(before) == identity(after) == identity(current), "input changed while reading") | |
| return data, {"path": str(path.absolute()), "sha256": hashlib.sha256(data).hexdigest(), "bytes": len(data)} | |
| def main(argv=None) -> int: | |
| parser = argparse.ArgumentParser(description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter) | |
| parser.add_argument("--plan", required=True, type=Path) | |
| parser.add_argument("--episodes", required=True, type=Path) | |
| parser.add_argument("--output", required=True, type=Path, help="new JSON file; existing paths are never replaced") | |
| args = parser.parse_args(argv) | |
| plan_bytes, plan_source = _read_closed(args.plan) | |
| episode_bytes, episode_source = _read_closed(args.episodes) | |
| rows = [_decode(line) for line in episode_bytes.decode("utf-8").splitlines() if line.strip()] | |
| report = summarize_panel(_decode(plan_bytes.decode("utf-8")), rows) | |
| report["inputs"] = {"plan": plan_source, "episodes": episode_source} | |
| atomic_write_json(args.output, report, overwrite=False) | |
| print(json.dumps({"output": str(args.output), "complete_panel": report["complete_panel"], "counts": report["counts"]})) | |
| return 0 | |
| if __name__ == "__main__": | |
| raise SystemExit(main()) | |